AI PRODUCT ENGINEER at Emagine IT

, , -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Flask, Django, React, TypeScript, LLM APIs, Prompt Engineering, Retrieval-Augmented Generation, RAG, Full Stack Development, UX Design, Agentic Workflows, Evaluation Frameworks, Figma, Cloud Platforms

Industry

IT Services and IT Consulting

Description

Emagine IT has an immediate need for a founding AI Product Engineer to help shape our product from the ground up. You’ll wear every hat – product, design and engineering – and have an outsized impact on what we build and how we build it. This is a role for someone who thrives on ambiguity, ships fast, and wants to define what an AI-native product looks like. This position is 100% remote. Responsibilities include: • Own AI powered features end to end – from identifying user problems to shipping polished, production ready experiences. • Talk to users, define product requirements, and decide what’s worth building next. • Design intuitive UX flows and interfaces for AI native interactions. • Build across the full stack – backend services, AI/LLM integrations, and frontend UI. • Develop and refine prompts, retrieval pipelines, and agentic workflows using frontier LLMs (Claude, Gemini, GPT). • Build evaluation frameworks to measure model quality, accuracy, caching, fallback strategies, and cost optimization. • Help shape engineering culture, technical standards, and product direction as the team grows. • Stay current with advances in LLMs, RAG, agents, and evaluation techniques; bring promising ideas into the product. • Move fast, ship often, and iterate relentlessly based on user feedback. Minimum Requirements: • 4+ years of professional software engineering experience. • Strong proficiency in Python and a modern web framework (FastAPI, Flask, Django, or similar). • Frontend experience with React, TypeScript, or a comparable framework. • Hands on experience building applications with LLM APIs (OpenAI, Anthropic, Google, or open-source models). • Solid understanding of prompt engineering, retrieval-augmented generation (RAG), and evaluation methods. • Strong product instincts – able to identify what’s worth building and make sound UX decisions. • High autonomy – thrives without a detailed spec or established process. • Bias toward shipping; comfortable trading polish for speed when it matters. Additional Requirements (Optional): • Prior founding engineer, solo builder, or early-stage startup experience. • Design fluency (Figma, prototyping, visual design fundamentals). • Experience with agent frameworks, tool use, or multi-step LLM workflows. • Familiarity with cloud platforms (GCP, AWS, or Azure) and containerized deployments. • Background in regulated or compliance-heavy domains (FedRAMP, HIPAA, SOC 2, etc.). AAP/E EO Statement　 Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Emagine IT is an information technology consulting services company that specializes in delivering technology solutions. Our reputation reflects the high quality of the talented Emagine IT team and the consultants working in partnership with our customers. Our mission is to understand and meet the needs of both our customers and consultants by delivering quality, value-added solutions. Our solutions are designed and managed to not only reduce costs, but to improve business processes, accelerate response time, improve services to end users, and give our customers a competitive edge, now and into the future.

Responsibilities

The role involves owning AI-powered features end-to-end, from identifying user problems to shipping production-ready experiences. Responsibilities include designing UX flows, building full-stack services, and developing LLM retrieval pipelines and agentic workflows.